Round-robin study of arsenic implant dose measurement in silicon by SIMS
Publikation: Beitrag in Fachzeitschrift › Forschungsartikel › Beigetragen › Begutachtung
Beitragende
Abstract
An international round-robin study was undertaken under the auspices of ISO TC201/SC6 to determine the best analytical conditions and the level of interlaboratory agreement for the determination of the implantation dose of arsenic in silicon by secondary ion mass spectrometry (SIMS). Fifteen SIMS laboratories, as well as two laboratories that performed low energy electron-induced X-ray emission spectrometry (LEXES) and one that made measurements by instrumental neutron activation analysis (INAA) were asked to determine the implanted arsenic doses in three unknown samples using as a comparator NIST Standard Reference Material ® 2134. The use of a common reference material by all laboratories resulted in better interlaboratory agreement than was seen in a previous round-robin that lacked a common comparator. The relative standard deviation among laboratories was less than 4% for the medium-dose sample, but several percent larger for the low- and high-dose samples. The high-dose sample showed a significant difference between point-by-point and average matrix normalization because the matrix signal decreased in the vicinity of the implant peak, as observed in a previous study. The dose from point-by-point normalization was in close agreement with that determined by INAA. No clear difference in measurement repeatability was seen when comparing Si 2 - and Si 3 - as matrix references with AsSi - .
Details
Originalsprache | Englisch |
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Seiten (von - bis) | 7232-7235 |
Seitenumfang | 4 |
Fachzeitschrift | Applied surface science : a journal devoted to applied physics and chemistry of surfaces and interfaces |
Jahrgang | 252 |
Ausgabenummer | 19 |
Publikationsstatus | Veröffentlicht - 30 Juli 2006 |
Peer-Review-Status | Ja |
Extern publiziert | Ja |
Schlagworte
ASJC Scopus Sachgebiete
Schlagwörter
- Arsenic, INAA, LEXES, Matrix normalization, SIMS